View source: R/utils_format_conversion.R
convert_to_fstWig | R Documentation |
Will split files by chromosome for faster loading for now. This feature might change in the future!
convert_to_fstWig(
df,
in_files = filepath(df, "pshifted"),
out_dir = file.path(libFolder(df), "fstwig"),
split.by.strand = TRUE,
split.by.readlength = FALSE,
seq_info = seqinfo(df),
weight = "score",
is_pre_collapsed = FALSE,
verbose = TRUE
)
df |
an ORFik |
in_files |
paths to input files, default pshifted files:
|
out_dir |
paths to output files, default
|
split.by.strand |
logical, default TRUE, split into forward and reverse strand RleList inside covRle object. |
split.by.readlength |
logical, default FALSE, split into files for each readlength, defined by readWidths(x) for each file. |
seq_info |
SeqInfo object, default |
weight |
integer, numeric or single length character. Default "score". Use score column in loaded in_files. |
is_pre_collapsed |
logical, default FALSE. Have you already collapsed reads with collapse.by.scores, so each positions is only in 1 GRanges object with a score column per readlength? Set to TRUE, only if you are sure, will give a speedup. |
verbose |
logical, default TRUE, message about library output status. |
invisible(NULL), files saved to disc
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